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Sr. Data Cloud Engineer- Remote

BigRio

Role overview

Qualifications

  • 5+ years of development experience building cloud data solutions with AWS and IBM platforms
  • Bachelor's Degree or equivalent experience (preferred in Computer Science or related degree)
  • Cloud experience - AWS and IBM LSF preferred for HPC
  • Experience developing and deploying robust and scalable solutions

Responsibilities

  • Design experience in AWS and IBM LSF (Load Sharing Facility)
  • Skilled in implementing scalable AWS solutions and connecting to IBM LSF
  • Build robust, scalable, and fault-tolerant ETL pipelines
  • Responsible for data integrity, consistency, and quality of new releases

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration

About the company

BigRio logo

BigRio

BigRio is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. We are an elite group with MIT roots, shining when tasked with complex missions. Whether it’s assembling mounds of data from a variety of sources, surfacing intelligence with Deep Learning, or building high-volume, highly-available systems, we consistently deliver. With extensive domain knowledge, BigRio’s scientists and engineers design and build best-in-class solutions across a variety of verticals. This diverse industry exposure and our constant run-in with cutting-edge technology equips us with invaluable tools, strategies, and techniques. Our knowledge and horsepower bring innovative, cost-conscious, and extensible results to complex business challenges.

Company details

Company size11 - 50

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Job description

Job Title: Sr. Cloud Data Engineer- AWS and IBM LSF (Load Sharing Facility)
Location: Remote- East Coast hours
Duration: 12+ Month Contract
Client: Harvard Business School

Job Description:

BigRio is looking to add an AWS Cloud Engineer (with IBM LSF experience) to their Data Team that designs, builds, and maintains the integrated platform that securely procures and links critical business data from disparate internal and external sources. This involves assimilating all structured, unstructured, and semi-structured data. The AWS Cloud Engineer will touch all aspects of the data operation, in particular, data infrastructure, to ensure a robust, efficient, and consistent foundation for enterprise consumption & application development.

Responsibilities:
  • Design experience in AWS and IBM LSF ( Load Sharing Facility)
  • Skilled in implementing scalable AWS solutions and connecting to IBM LSF
  • Build robust, scalable, and fault-tolerant ETL pipelines that allow flexibility and efficiency with minimum overhead and maintenance
  • Responsible for data integrity and consistency and quality of new releases
  • Work with other architects and engineers to define, execute, and update core data systems while maintaining a high level of availability and transactional correctness

Skills and Qualifications
  • 5+ years of development experience building cloud data solutions with AWS and IBM platforms.
  • Bachelor's Degree or equivalent experience is required. Preferred in Computer Science or related degree.
  • Cloud experience - AWS and IBM LSF preferred for HPC- HIGH PERFORMACE COMPUTING
  • Experience developing and deploying robust and scalable solutions
  • Experience working within an agile development process (Scrum, Kanban, etc)
  • Familiarity with CI/CD concepts
  • Demonstrated proficiency in creating technical documentation.
  • Write excellent, fully tested code to build ETL /ELT data pipelines on Cloud.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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